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Digital Twin to Support Autonomous Driving

Digital Twin to Support Autonomous Driving. June 20, 2019 Martin Bauer ( Martin.Bauer@neclab.eu ) NEC Laboratories Europe. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 731993.

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Digital Twin to Support Autonomous Driving

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  1. Digital Twin toSupport Autonomous Driving June 20, 2019 Martin Bauer (Martin.Bauer@neclab.eu) NEC Laboratories Europe This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 731993.

  2. Digital Twin isa concept supporting autonomous driving

  3. What is a digital twin? Digital Twin Digital Model • Digital twin: • digital replica of physical assets, processes and systems • provides both elements and dynamics of operation and life cycle • (based on Wikipedia)

  4. Why do we need a digital twin? 3 Interaction withother twins Access to environment 2 Enable Interaction with other Twins Digital Twin Digital Model Digital twin carin digital twinenvironment 4 I Access to history, 3D Model Understand current situation II Predict futuresituation(s) III Recommend action 1 Real Car has limited view Car in real environment Photo by AleksejsBergmanis from Pexels The idea is NOT to remote control the car, but to provide “extended view” to improve driving

  5. How can we build a digital twin? • Data Twin – digital represenation of the real twin incl. its state • Augmented Twin – adding „augmentation“ to the data twin: new functions & new properties • Context-aware Twin – information about the current situation and context of the real twin • Cognitive Functions – AI and data analytics function to capture context and twin state Context-aware Twin Augmented Twin Data Twin CognitiveFunctions

  6. Animation NGSI-LD as data model for digital twin Information Model Entity Graph hasSubject hasRel. Entity Value hasPorp.. Property hasValue hasObject hasSubject rdfs:subclassOf rdfs:subclassOf Ontology StreetSegment inFrontof Relationship Vehicle Vehicle 20 Pothole rdf:type rdf:type urn:ISG-CIM:StreetSegment:S3126 Instantiation Person distance urn:ISG-CIM:Pothole:P3456 urn:ISG-CIM:Vehicle:B6789 urn:ISG-CIM:Vehicle:A4567 urn:ISG-CIM:Person:Personr123 ... ... 3dModel location speed location speed location http://3dmodel... 80 [49.398, 8.673] 80 [49.398, 8.672] [49.3983, 8.6731]

  7. Animation IoT platform functionality • To support autonomous driving based on digital twins, efficient information retrieval is needed: • about the car itself, other cars and other traffic participants & environment • NGSI-LD enables the modelling as entities, relationships and properties • NGSI-LD API enables specifying relevant entities, relationships and properties and filtering according to values/objects and geographic location  NGSI-LD API + model provides a suitable basis for digital data twin Cars? Obstacles?

  8. Next steps: Advanced digital twin functionality Digital twins consists of information + intelligent processing NGSI-LD enabled • knowledge representation of digital twins • relationships between twins • efficient search & discovery of relevant digital twins Digital twins contain active objects (“augmentations”) that realize • analytics functionality & simulations • cognitive situation understanding • goal-directed behaviour for assistance

  9. Takeaway points • IoT information provides “extended view” to improve autonomous driving • Transferring and processing all information in the car is not feasible • NGSI-LD can be used for modelling of the digital twin • IoT infrastructure connects the real twin with the digital twin • Digital twin provides information representation and intelligent processing  Digital Twin is a concept supporting autonomous driving

  10. Thank you foryour attention!

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